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chore(deps): update torch-geometric requirement from >=2.3 to >=2.7.0#108

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chore(deps): update torch-geometric requirement from >=2.3 to >=2.7.0#108
dependabot[bot] wants to merge 1 commit intomasterfrom
dependabot/pip/torch-geometric-gte-2.7.0

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@dependabot dependabot Bot commented on behalf of github Apr 28, 2026

Updates the requirements on torch-geometric to permit the latest version.

Release notes

Sourced from torch-geometric's releases.

PyG 2.7.0

We are excited to announce the release of PyG 2.7 🎉🎉🎉

PyG 2.7 is the culmination of work from 53 contributors who have worked on features and bug-fixes for a total of over 282 commits since torch-geometric==2.6.0.

Highlights

PyTorch 2.8 Support

PyG 2.7 is fully compatible with PyTorch 2.8 and supports the following combinations:

PyTorch 2.8 cpu cu126 cu128 cu129
Linux
Windows
macOS

In addition, PyG 2.7 supports two previous PyTorch minor releases, PyTorch 2.7 and 2.6:

PyTorch 2.7 cpu cu118 cu126 cu128
Linux
Windows
macOS
PyTorch 2.6 cpu cu118 cu124 cu126
Linux
Windows
macOS

Breaking Changes

Deprecation

  • Deprecated torch_geometric.distributed (#10411)

Bugfixes

... (truncated)

Changelog

Sourced from torch-geometric's changelog.

[2.7.0] - 2025-10-14

Added

  • Added GraphLand benchmark via GraphLandDataset (#10458)
  • Added llm generated explanations to TAGDataset (#9918)
  • Added torch_geometric.llm and its examples (#10436)
  • Added support for negative weights in sparse_cross_entropy (#10432)
  • Added connected_components() method to Data and HeterData (#10388)
  • Added LPFormer Graph Transformer for Link Prediction (#9956)
  • Added BidirectionalSampler, which samples both forwards and backwards on graph edges (#10126)
  • Enable Sampling both forwards and reverse edges on NeighborSampler (#10126)
  • Added ability to merge together SamplerOutput objects (#10126)
  • Added ability to get global row and col ids from SamplerOutput (#10200)
  • Added PyTorch 2.8 support (#10403)
  • Added Polynormer model and example (#9908)
  • Added ProteinMPNN model and example (#10289)
  • Added the Teeth3DS dataset, an extended benchmark for intraoral 3D scan analysis (#9833)
  • Added torch.device to PatchTransformerAggregation #10342
  • Added torch.device to normalization layers #10341
  • Added total_influence for quantifying long-range dependency (#10263)
  • Added MedShapeNet Dataset (#9823)
  • Added RelBench example (#10230)
  • Added CityNetwork dataset (#10115)
  • Added visualize_graph to HeteroExplanation (#10207)
  • Added PyTorch 2.6 support (#10170)
  • Added support for heterogenous graphs in AttentionExplainer (#10169)
  • Added support for heterogenous graphs in PGExplainer (#10168)
  • Added support for heterogenous graphs in GNNExplainer (#10158)
  • Added Graph Positional and Structural Encoder (GPSE) and example (#9018) (#10118)
  • Added attract-repel link prediction example (#10107)
  • Added ARLinkPredictor for implementing Attract-Repel embeddings for link prediction (#10105)
  • Improving documentation for cuGraph (#10083)
  • Added HashTensor (#10072)
  • Added SGFormer model and example (#9904)
  • Added AveragePopularity metric for link prediction (#10022)
  • Added Personalization metric for link prediction (#10015)
  • Added HitRatio metric for link prediction (#10013)
  • Added Data Splitting Tutorial (#8366)
  • Added Diversity metric for link prediction (#10009)
  • Added Coverage metric for link prediction (#10006)
  • Added Graph Transformer Tutorial (#8144)
  • Consolidate Cugraph examples into ogbn_train_cugraph.py and ogbn_train_cugraph_multigpu.py for ogbn-arxiv, ogbn-products and ogbn-papers100M (#9953)
  • Added InstructMol dataset (#9975)
  • Added support for weighted LinkPredRecall metric (#9947)
  • Added support for weighted LinkPredNDCG metric (#9945)
  • Added LinkPredMetricCollection (#9941)
  • Added various GRetriever architecture benchmarking examples (#9666)
  • Added profiler.nvtxit with some examples (#9666)
  • Added loader.RagQueryLoader with Remote Backend Example (#9666)

... (truncated)

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Updates the requirements on [torch-geometric](https://github.com/pyg-team/pytorch_geometric) to permit the latest version.
- [Release notes](https://github.com/pyg-team/pytorch_geometric/releases)
- [Changelog](https://github.com/pyg-team/pytorch_geometric/blob/master/CHANGELOG.md)
- [Commits](pyg-team/pytorch_geometric@2.3.0...2.7.0)

---
updated-dependencies:
- dependency-name: torch-geometric
  dependency-version: 2.7.0
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added the dependencies Pull requests that update a dependency file label Apr 28, 2026
@dependabot dependabot Bot requested a review from keisuke58 as a code owner April 28, 2026 02:22
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